Santé mentale autoévaluée, sentiment d’appartenance à la communauté, satisfaction à l’égard de la vie et changement perçu en matière de santé mentale chez les adultes pendant la deuxième et la troisième vagues de la pandémie de COVID-19 au Canada
Bibliographic record
Abstract
D’après les résultats de l’Enquête sur la COVID-19 et la santé mentale (ECSM) de 2020, la santé mentale positive chez les adultes au Canada était plus faible pendant la deuxième vague de la pandémie (automne 2020) qu’en 2019. Grâce aux données de l’hiver et du printemps 2021 de l’ECSM analysées dans cette étude, nous avons pu constater que la satisfaction moyenne à l’égard de la vie et la prévalence d’un niveau élevé de santé mentale autoévaluée, d’un fort sentiment d’appartenance à la communauté et d’une santé mentale perçue comme stable ou meilleure étaient encore plus faibles pendant la troisième vague de la pandémie que pendant la deuxième vague , à la fois dans l’ensemble de la population adulte et au sein de la plupart des groupes sociodémographiques.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".